AI Engineer

*Native/Bilingual English is required for this role (read/written/spoken)

Please upload your CV Resume in English.

Monthly salary: $5,000 USD

Along with our partner, we are seeking an AI Engineer who has built agents that are live in production at real companies, not demos, not prototypes that died after a pitch, not research projects. We need someone who has shipped agentic systems that enterprises depend on every day, and who understands the full lifecycle: scoping the business problem, designing the agent architecture, integrating with messy enterprise systems, building evaluation and monitoring, and keeping it running reliably.

This role sits across two priorities equally: building their internal multi agent AI platform and delivering agent based solutions directly to enterprise clients. You will work closely with their engineering team and the Managing Partner. You will have significant autonomy and direct impact on both the product and the business.

Responsibilities:

• Design, build, and deploy AI agents and multi agent systems that solve real business problems for enterprise clients.
• Architect and implement agent orchestration, coordination, handoffs, shared state, and communication between specialized agents within their multi agent platform.
• Integrate agents with enterprise systems (ERPs, CRMs, accounting platforms, APIs) to execute workflows end to end in production environments.
• Build evaluation frameworks and production monitoring for deployed agents, logging agent decisions, tracking accuracy, cost, and latency, and implementing feedback loops.
• Work within client systems to understand existing workflows and translate messy business processes into agent executable architectures.
• Identify and codify repeatable deployment patterns across engagements to accelerate future delivery.
• Maintain deep, current knowledge of LLM capabilities, agent frameworks, implementation patterns, and the evolving AI product development stack.
• Deliver technical artifacts including agent skills, sub agents, API integrations, and supporting infrastructure that will be used in production workflows.
• Contribute to internal product development, shaping the architecture and capabilities of their platform alongside the engineering team.

Requirements:

• Production agent experience: You have built AI agents that are currently running in production for real companies. You can point to systems you built that people use every day.
• Python proficiency: Strong programming skills with Python as your primary language. You ship clean, maintainable production code.
• LLM fluency: Deep working knowledge of prompt engineering, context window management, and model selection. You know when to use a smaller model vs. a frontier model and why.
• Enterprise integration experience: You have connected agents to real business systems: ERPs (Acumatica, NetSuite, SAP), CRMs (Salesforce, HubSpot), accounting platforms (QuickBooks, Xero), or comparable enterprise APIs.
• Evaluation and monitoring in production: You have built observability into agents. You know how to log agent decisions, track accuracy and cost, and build feedback loops that improve agent performance over time.
• Multi agent orchestration: You have designed or built systems where multiple specialized agents coordinate, hand off tasks, and share state to accomplish complex workflows.
• High agency: You can take a messy business problem and turn it into a working agent architecture without hand holding. You thrive in ambiguity and move fast with minimal direction.
• Portfolio / case study: You must be able to walk us through at least one agent system you built that is live and being used by a real company. We want to understand the business problem, your architecture decisions, and how it is performing.

Nice to Haves:

• TypeScript, Java, or a strong second language beyond Python.
• Customer facing or consulting experience, you have worked directly with clients or stakeholders to scope and deliver technical projects.
• Domain experience in financial services, CPG, legal, or the music industry.
• Cost optimization thinking, token management, caching strategies, model routing to keep agent operating costs viable for clients.
• Experience with workflow orchestration tools (Temporal, Airflow, Step Functions, or similar).
• Former technical founder or early stage startup experience, you have worn many hats and shipped under resource constraints.

What We Offer:

• Direct impact, you will shape both their products and their client engagements from day one.
• Exposure to diverse enterprise AI challenges across multiple industries and verticals.

Benefits:

• A fully remote position with a structured schedule that supports work-life balance.
• The opportunity to build AI systems used in real-world production environments.
• Two weeks of paid vacation per year.
• 10 paid days for local holidays.

*Please note our partner is only looking for full-time dedicated team members who are eager to fully integrate within their team.